Contents

Overview

The purpopse of this project is to create transcripts of ELC and ELCE talks, as pages on the elinux wiki,
via crowdsourcing. The value of transcripts would be that the material in the talks would be much more
accessible to people. It would be searchable, and the talk could be read instead of watched (which is
time-consuming). This essentially makes the talk accessible via random access instead of sequential access.
There is a lot of very good content that is preserved in the videos that have been made over the years, and
the goal of this project is to make that content more accessible and usable.

Process and methodology

In order to crowdsource the effort, a structure and method will be developed for:

keeping track of the completion status of each talk

managing the transcripts and keeping them in a uniform and useful form

keeping track of who has worked on each talk (transcript credits)

reviewing the transcripts for accuracy (and vandalism)

Random idea: Maybe use a different wiki for the talk pages, that allows database operations on the pages (like websed/tbwiki tables).

Process per page

1. check if page is listed in global presentation list
2. create a presentation page for the presentation (using a template?)
3. add a link to the talk in the global presentation list
4. add a link to the talk in the global topic list

The first session I tried was the Samsung fragmentation page from ELC - unfortunately, there was no video for this.
The second session I tried was for Mike Anderson's keynote from ELC 2012 - setting up the page was a bit of a pain.
Very clear instructions are needed for this. It should be as mechanical as possible, with little room for error.

They use square brackets for comments like [laughter], [music], or [pause], and angle brackets
to indicate a speaker change.

Starting and stopping the video is painstaking. Backing up the video is difficult to be precise at.

For Mike's talk, it took me about 6 minutes of transcribing for each minute of video. I was trying
to go as fast as possible and timing myself. I think a reasonable estimate for each minute of
video is about 10 minutes of time (set up, actual transcription, corrections, saving). This is
when done out of context (a single minute session).

6 minutes would be an hours, so a 60 minute video would therefore take about 10 hours
to transcribe. Give another 2 hours for a second pass, and we're talking about 12 hours per video.
That's a lot, and clearly outside the scope of what one person could do.